Paper Title
3d Face Recognition Using PCA And NN

Here we are taking 40 person’s database having 10 images per person. In total we will be having 400 images. We are proposing a face recognition system in which we are going to use the Principal component Analysis for feature extraction and Self Organizing Maps(SOM) as a classifier. We will be calculating the Euclidean distance on the basis of PCA and then recognizing a face is known or unknown which will be tested between training and a testing image. Index Terms— Eigenfaces, PCA(Principal Component Analysis) ,SOM(Self Organizing Maps),3D( Three Dimensional).